Taylor, TX

Engineer Jobs in Taylor, TX

4 jobs found

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10d ago

Senior Machine Learning Engineer, Defect Quality & Systems

Samsung Taylor, TX

Taylor, TX

10d ago

$106k - $145k/yr Full time Senior Ai Ml Artificial Intelligence

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Job Description

Samsung is seeking a Senior Machine Learning Engineer to lead in-house machine learning models for defect engineering systems. The role focuses on real-time defect detection and classification within a high-throughput, 24/7 semiconductor manufacturing environment, with ownership across the full ML lifecycle.

Responsibilities

Design and implement advanced machine learning models for defect detection and classification, with emphasis on accuracy, throughput, and minimal time-to-detection.
Collaborate with module owners to convert complex physical defect characteristics into mathematical modeling proposals and rigorous classification frameworks.
Drive the transition from research to production by identifying emerging AI research and whitepapers and adapting new architectures to address semiconductor manufacturing challenges.
Improve model performance through feature engineering, hyperparameter tuning, and modern vision architectures such as CNNs and Object Detection.
Develop and maintain models suitable for continuous production operations, supporting seamless integration and high reliability.
Set group standards for code quality and design principles, mentor junior engineers, and complete rigorous code reviews.

Requirements

Education: BS or MS in Software Engineering, Computer Science, Data Science, Mathematics, or a related STEM/Engineering degree.
Experience: 5+ years of relevant experience.
Preferred: Semiconductor industry experience.
Strong proficiency with open-source frameworks, including TensorFlow 2.x and PyTorch, with a proven history of deploying models into production.
Comfort working with command-line interfaces and Linux environments (including Ubuntu), along with understanding of optimizing models for hardware performance.
Ability to translate complex ML metrics into actionable business insights for audiences ranging from engineers to site leadership.
Demonstrated experience managing complex technical projects from concept through delivery while meeting strict deadlines and applying solid software design principles.

Technologies

TensorFlow 2.x
PyTorch
CNNs
Object Detection
Linux
Ubuntu

Location

Taylor, TX (onsite)

Salary and Total Rewards

The current base salary range is $106,000 - $145,000 per year.
Total compensation includes a competitive benefits package and may include participation in company incentive compensation programs.
All positions at Samsung Austin Semiconductor are full-time on-site.

Benefits

Medical, dental, and vision insurance
Life insurance and 401(k) matching with immediate vesting
Onsite café(s) and workout facilities
Paid maternity and paternity leave
PTO plus 2 personal holidays and 10 regular holidays
Wellness incentives and MORE
MBO bonuses based on company, division, and individual performance
Competitive benefits package and may include participation in company incentive compensation programs

Trade Secrets Notice

By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information, including trade secrets, belonging to a current or former employer or other entity.

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1mo ago

Applied AI Engineer

ERCOT/Electric Reliability Council of Texas Taylor, TX

Taylor, TX

1mo ago Closed

$145k - $200k/yr Full time Agentic Ai Agentic Automation Ai Agent

This position is no longer accepting applications (closed Oct 29, 2026).

Job Description

ERCOT/Electric Reliability Council of Texas is seeking an Applied AI Engineer to build and deploy production generative AI solutions in a regulated setting. The work includes agentic systems and retrieval augmented generation (RAG) pipelines, with a focus on governance, evaluation, and dependable operations once models move beyond demonstrations.

This hybrid role is based in Taylor, TX (2 days per week) and supports the design, integration, monitoring, and continuous improvement of AI applications across enterprise tools and data systems.

What you will do

Convert ambiguous business needs into scoped technical roadmaps, identifying constraints such as data access, compliance, latency, and cost before development starts.
Design and deliver production agentic systems, including planning, tool-calling, multi-step reasoning, memory, and error recovery using orchestration frameworks such as LangGraph or Microsoft Agent Framework.
Implement production RAG pipelines with chunking, embeddings, hybrid search, reranking, retrieval-quality evaluation, and content freshness mechanisms.
Build and extend connectors that provide agents secure, standardized access to enterprise tools and data.
Deploy AI applications to managed cloud platforms and integrate them with enterprise systems and collaboration tools.
Create evaluation suites, tracing, and rollback paths to support reliable production behavior rather than one-off demos.
Monitor, debug, and improve deployed applications against evaluation metrics.
Apply system design principles by defining architectures, data flows, and integration boundaries with attention to scalability, reliability, latency, and cost.
Codify repeatable patterns by converting successful builds into reusable components and reference architecture for the team.
Partner with non-technical business owners to understand workflows, maintain current knowledge of evolving LLM capabilities and implementation patterns, and operate with autonomy through ambiguity.

Key qualifications

Proven experience building and deploying production-grade autonomous agents, not prototypes.
Experience with agent orchestration frameworks, including LangGraph, Microsoft Agent Framework, or comparable tools.
Production RAG experience using vector search and vector databases such as pgvector, Azure AI Search, or Databricks Vector Search.
Strong Python skills and hands-on integration of LLM APIs.
System design fundamentals for scalable, reliable, maintainable services, including API design and trade-offs across latency, throughput, and cost.
Experience building or extending tool and data connectors for LLM applications.
Ability to deploy and operate applications on a managed cloud platform.
Understanding of AI governance, model lifecycle, and evaluation methodology.
Strong stakeholder and discovery skills, including scoping ambiguity and working directly with non-technical business owners.

Technologies you may work with

Agent & LLM frameworks: LangGraph, Microsoft Agent Framework, LangChain, LlamaIndex
LLM platforms & APIs: Claude API, Azure OpenAI, OpenAI API, plus model routing and evaluation frameworks
AI coding assistants: Claude Code, OpenAI Codex, GitHub Copilot, Microsoft Copilot Studio
Retrieval & vector search: Azure AI Search, Databricks Vector Search, pgvector
Data & analytics: Databricks, Power BI, SQL, Oracle DB, PostgreSQL
Connectors & integrations: MCP (Model Context Protocol), REST APIs, enterprise system connectors, Teams integration
Cloud & deployment: Azure, OpenShift (private cloud/on-premises), Docker, Kubernetes, Helm
CI/CD & source control: GitHub, GitHub Actions
Observability & evaluation: Tracing, evaluation harnesses, LLM observability, logging and monitoring
ITSM & agile tooling: ServiceNow, Jira
Scripting & languages: Python, PowerShell

Preferred experience

Solution and system architecture across multiple applications with security-by-design and reference architecture.
Large-scale data platform experience with Databricks for retrieval, feature, or pipeline work.
Experience in a regulated or audit-driven environment (energy, finance, healthcare).
Multi-agent orchestration and context engineering.

Education and salary

Minimum experience: 5 years
Education: Bachelor’s Degree in Computer Science, Data Science, Information Systems, Engineering, or related field (or a combination of education and experience providing equivalent knowledge to such a major)
Salary: USD 145,000 - 200,000 per year

Certification (preferred)

Cloud or AI/ML certification such as Azure AI Engineer, AWS Machine Learning, or Databricks

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2mo ago

Machine Learning Engineer

Samsung Taylor, TX

Taylor, TX

2mo ago Closed

$90k - $175k/yr Full time Anomaly Detection Big Data Data Pipeline

This position is no longer accepting applications (closed Sep 24, 2026).

Job Description

Samsung Austin Semiconductor is hiring a Machine Learning Engineer to build and maintain end-to-end model pipelines focused on anomaly detection and root cause analysis. The role emphasizes distributed processing of manufacturing time-series and operational data, with heavy use of PySpark to take datasets from ingestion through training, validation, deployment, and monitoring in production.

This full-time onsite position is located in Taylor, TX and offers a base salary range of $90,000 to $174,500 per year. The team is focused on building reproducible, auditable ML workflows that can be reliably retrained and rolled back when performance shifts.

What you’ll do

Develop PySpark workflows to ingest, clean, and transform high-volume manufacturing data, producing structured datasets for training and inference.
Improve Spark performance by tuning partition strategies, managing executor memory, reducing shuffle, and addressing skewed joins to lower runtime and cluster usage.
Create and maintain end-to-end ML pipelines that automate feature calculation, model training, validation, and deployment while ensuring runs are reproducible and auditable.
Implement and tune machine learning models for anomaly detection and root cause analysis.
Own the production model lifecycle including version tracking, secure artifact storage, automated retraining triggers, and rollback procedures when performance degrades.
Monitor pipeline execution times, data quality, and model metrics such as accuracy, drift, and throughput, and build alerting rules to detect failures or degradation early.

What you bring

A Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related quantitative field.
3 to 5+ years of professional experience building and maintaining machine learning systems.
Strong proficiency in PySpark and distributed data processing, including experience optimizing jobs for speed and memory.
Hands-on experience with Python ML libraries including scikit-learn, TensorFlow, PyTorch, or XGBoost.
Practical knowledge of MLOps, including pipeline orchestration, model versioning, experiment tracking, and deployment.
Experience setting up monitoring and alerting for both data pipelines and deployed models.

Technologies

PySpark, Spark
Python
scikit-learn
TensorFlow
PyTorch
XGBoost

Benefits

Medical, dental, and vision insurance
Life insurance and 401(k) matching with immediate vesting
Onsite café(s) and workout facilities
Paid maternity and paternity leave
Paid time off (PTO) + 2 personal holidays and 10 regular holidays
Wellness incentives and MORE
Eligible full-time employees (salaried or hourly) may receive MBO bonuses based on company, division, and individual performance

Preferred

Experience setting up model registries, automated retraining triggers, and rollback procedures to keep production models reliable.
Experience writing automated tests and validation checks for data pipelines and model outputs to catch errors before deployment.
Familiarity with on-prem or private cloud infrastructure, including cluster management and secure artifact storage.

Additional information

U.S. Export Control Compliance: This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.

Trade Secrets Notice: By submitting an application, you agree not to disclose to Samsung, or encourage Samsung to use, any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

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3mo ago

Electrical Distribution Engineer

Samsung Electronics Taylor, TX

Taylor, TX

3mo ago Closed

$76k - $145k/yr Full time Electrical Engineering Analytical Skills Arc Flash Analysis

This position is no longer accepting applications (closed Aug 4, 2026).

Job Description

Samsung Electronics offers an onsite opportunity in Taylor, Texas for an Electrical Distribution Engineer who can oversee commissioning, startup, and qualification of new power distribution assets while keeping existing industrial infrastructure reliable, safe, and high performing. The role is structured for first shift, Monday through Friday, 8:00 am to 5:00 pm, with a salary range of USD 76,000 to 145,000 per year. A Bachelor’s degree in Electrical or Electronics Engineering from an ABET-accredited program and at least four years of industrial electrical maintenance experience are required. Semiconductor fab experience is preferred, and a Professional Engineer license in Texas is a plus. This position blends hands-on field execution with rigorous documentation, standards compliance, and cross-functional coordination to deliver robust, fault-tolerant electrical systems.

Benefits

Medical, dental, and vision insurance
Life insurance and 401(k) matching with immediate vesting
Onsite café(s) and workout facilities
Paid maternity and paternity leave
PTO plus 2 personal holidays and 10 regular holidays
Wellness incentives and MORE

Responsibilities

Coordinate with design engineering, construction, operations, and maintenance teams to align requirements and schedules
Lead pre-commissioning, functional testing, and energization of medium and low voltage switchgear, transformers, UPS, generators, and motor-control equipment
Verify protection schemes with relays, circuit breakers, and electronic trip units meet design intent and industry standards (IEEE, IEC, NEMA)
Perform detailed safety verifications before applying power, including lock-out/tag-out, arc-flash analysis, and grounding checks
Ensure work adheres to applicable codes (NFPA 70E, NEC, IEC 61850, ANSI/IEEE) and internal procedures
Produce commissioning reports, as-built drawings, punch lists, and close-out documentation
Log deficiencies, develop corrective-action plans, and track resolutions in the project management system
Interface newly commissioned assets with SCADA/EMS platforms; validate telemetry, alarms, and remote control functions
Coordinate with automation engineers to ensure proper tag mapping and data integrity
Perform fault diagnosis, performance validation, and corrective actions on new and legacy equipment
Work schedule: 1st Shift, Mon-Fri, 8:00 am to 5:00 pm

Requirements

Bachelor of Electrical or Electronics Engineering from an ABET-accredited institution
Minimum four years of electrical maintenance experience in an industrial setting; semiconductor fab experience is preferred
Professional Engineer license issued or recognized by the State of Texas is a plus
Working knowledge of IBC, IFC, and other codes and standards applicable to industrial power distribution system design and reliability
Detailed understanding of industrial power distribution systems design, maintenance, and electrical power monitoring equipment
Daily use of a Computerized Maintenance Management System to manage assets and maintenance schedules
Working knowledge of OSHA General Industry and Construction standards
Experience with Microsoft Excel for data analysis, including Pivot Tables, VLOOKUP data linking, and simple scripting
Ability to work overtime or on non-scheduled days as required

Technologies

SCADA
EMS (Energy Management System)
CMMS
Microsoft Excel

U.S. Export Control Compliance

This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.

Trade Secrets Notice

By applying, you agree not to disclose to Samsung or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

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Engineer Jobs in Taylor, TX

Senior Machine Learning Engineer, Defect Quality & Systems

Applied AI Engineer

Machine Learning Engineer

Electrical Distribution Engineer

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